Abstract
The release of wastewater from textile dyeing industrial sectors is a huge concern with regard to pollution as the treatment of these waters is truly a challenging process. Hence, this study investigates the triazo bond Direct Blue 71 (DB71) dye decolorization and degradation dye by a mixed bacterial culture in the deficiency source of carbon and nitrogen. The metagenomics analysis found that the microbial community consists of a major bacterial group of Acinetobacter (30%), Comamonas (11%), Aeromonadaceae (10%), Pseudomonas (10%), Flavobacterium (8%), Porphyromonadaceae (6%), and Enterobacteriaceae (4%). The richest phylum includes Proteobacteria (78.61%), followed by Bacteroidetes (14.48%) and Firmicutes (3.08%). The decolorization process optimization was effectively done by using response surface methodology (RSM) and artificial neural network (ANN). The experimental variables of dye concentration, yeast extract, and pH show a significant effect on DB71 dye decolorization percentage. Over a comparative scale, the ANN model has higher prediction and accuracy in the fitness compared to the RSM model proven by approximated R2 and AAD values. The results acquired signify an efficient decolorization of DB71 dye by a mixed bacterial culture.
Highlights
The deposition of toxic, mutagenic, and carcinogenic aromatic amines is coupled with decolorization of the azo dyes which are tolerant to degradation in anoxic conditions and disrupt the food chain as it accumulates [15, 16]. us, a key for the complete removal of azo dye from the environment is the azo dye full degradation besides only the elimination of color [17]. Both response surface methodology (RSM) and artificial neural network (ANN) tools are used for the optimization and modeling of environmental research
Isolation of Direct Blue 71 Dye-Degrading Mixed Culture. e soil or sludge (1 g weight) or water (1 mL) samples were mixed in 50 mL minimal salt medium (MSM) under three different mediums in which MSM was added with glucose as a carbon source or without glucose and ammonium sulfate or MSM only with all the mediums supplemented with 50 mg/L Direct Blue 71 dye
After 7 times subculturing, 1 ml cultures were taken out aseptically and underwent serial dilutions. en, 50 μl of the diluted aliquots was spread on the Direct Blue 71 dye agar in Petri dishes based on the condition that the mixed cultures preferred referring to the addition of glucose or MSM only or without glucose and ammonium sulfate. e plates were incubated for one to three days until the bacterial colonies were visible
Summary
Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). Khairunnisa’ Mohd Zin ,1 Mohd Izuan Effendi Halmi ,1 Siti Salwa Abd Gani, Uswatun Hasanah Zaidan, A. Wahid Samsuri ,1 and Mohd Yunus Abd Shukor 3. This study investigates the triazo bond Direct Blue 71 (DB71) dye decolorization and degradation dye by a mixed bacterial culture in the deficiency source of carbon and nitrogen. E decolorization process optimization was effectively done by using response surface methodology (RSM) and artificial neural network (ANN). E experimental variables of dye concentration, yeast extract, and pH show a significant effect on DB71 dye decolorization percentage. E results acquired signify an efficient decolorization of DB71 dye by a mixed bacterial culture The ANN model has higher prediction and accuracy in the fitness compared to the RSM model proven by approximated R2 and AAD values. e results acquired signify an efficient decolorization of DB71 dye by a mixed bacterial culture
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